Publication

2026

  1. IEEE ToN
    Online Request Scheduling for Quality-Aware Diffusion based AIGC Services
    Han Yang, Ying Zheng, Lei Jiao, and 2 more authors
    IEEE Trans. Networking, 2026
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    A Self-updating Checkpointing and Fast Failure Recovery System for Distributed LLM Training
    Leyi Ye, Zhiyi Yao, Boliang Liu, and 5 more authors
    IEEE Infocom, 2026
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    Crack in the Armor: Underlying Infrastructure Threats to RPKI Publication Point Reachability
    Yunhao Liu, Jessie Hui Wang, Yuedong Xu, and 3 more authors
    NDSS, 2026

2025

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    Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
    Ming Wen^, Jiaqi Zhu^, Yuedong Xu*, and 2 more authors
    NeurIPS, 2025
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    Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters
    Zhiyi Yao^, Pengbo Hu^, Congcong Miao^, and 8 more authors
    USENIX NSDI, 2025
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    PopFetcher: Towards Accelerated Mixture-of-Experts Training Via Popularity Based Expert-Wise Prefetch
    Junyi Zhang, Chuanhu Ma, Xiong Wang, and 6 more authors
    USENIX ATC, 2025
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    MemFerry: A Fast and Memory Efficient Offload Training Framework with Hybrid GPU Computation
    Zhiyi Yao, Zuning Liang, Yuedong Xu*, and 3 more authors
    IEEE Infocom, 2025
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    Robust Contextual Combinatorial Multi-Armed Bandits for Unreliable Network Systems
    Junkai Wang, Xutong Liu*, Jinhang Zuo, and 1 more author
    IEEE Infocom, 2025
  6. IEEE ToN
  7. IEEE ICDCS
    Carbon-Neutralizing Edge AI Inference for Data Streams via Model Control and Allowance Trading.
    Yining Zhang, Lei Jiao, Konglin Zhu, and 2 more authors
    IEEE ICDCS, 2025

2024

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    Learning Context-aware Probabilistic Maximum Coverage Bandits: A Variance-adaptive Approach
    Xutong Liu, Jinhang Zuo, Junkai Wang, and 3 more authors
    IEEE Infocom, 2024
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    Communication Efficient Distributed Newton Method Over Unreliable Networks
    Ming Wen, Chengchang Liu, and Yuedong Xu*
    AAAI, 2024
  3. ACM MM
    Axiomvision: Accuracy-guaranteed Adaptive Visual Model Selection for Perspective-aware Video Analytics
    Xiangxiang Dai, Zeyu Zhang, Peng Yang, and 3 more authors
    ACM Multimedia, 2024
  4. Elsevier JSA
    An Efficient Bandwidth-adaptive Gradient Compression Algorithm for Distributed Training of Deep Neural Networks
    Zeqin Wang, Qingyang Duan, Yuedong Xu*, and 1 more author
    J. Syst. Archit., 2024
  5. IEEE IWQoS
    Scheduling Generative-AI Job DAGs with Model Serving in Data Centers
    Ying Zheng, Lei Jiao, Yuedong Xu*, and 3 more authors
    IEEE IWQoS, 2024
  6. IEEE ICPP
    Online Scheduling and Pricing for Multi-LoRA Fine-Tuning Tasks
    Ying Zheng, Lei Jiao, Han Yang, and 6 more authors
    IEEE ICPP, 2024
  7. IEEE ICPP
    Gradient Free Personalized Federated Learning
    Haoyu Chen, Yuxin Zhang, Jin Zhao, and 2 more authors
    IEEE ICPP, 2024
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    Minerva: Decentralized Collaborative Query Processing over Interplanetary File System
    Zhiyi Yao, Bowen Ding, Qianlan Bai, and 1 more author
    IEEE Trans. Big Data, 2024
  9. WiOpt
    A Queueing Theoretic Perspective on Low-Latency LLM Inference with Variable Token Length
    Yuqing Yang, Lei Jiao, and Yuedong Xu*
    WiOpt, 2024

2023

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    Accelerating Distributed DNN Training via Transport Layer Scheduling
    Qingyang Duan, Chao Peng, Zeqin Wang, and 4 more authors
    IEEE TPDS, 2023
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    Blockchain Mining with Multiple Selfish Miners
    Qianlan Bai, Yuedong Xu*, Nianyi Liu, and 1 more author
    IEEE TIFS, 2023
  3. IEEE TNSE
    Making TCP BBR Pacing Adaptive with Domain Knowledge Assisted Reinforcement Learning
    Wenqi Pan, Yuedong Xu*, and Shaoteng Liu
    IEEE TNSE, 2023
  4. Elsevier JSA
    Communication Compression Techniques in Distributed Deep Learning: A Survey
    Zeqin Wang, Ming Wen, Yuedong Xu*, and 3 more authors
    J. Syst. Archit., 2023

2022

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    Offloading Elastic Transfers to Opportunistic Vehicular Networks Based on Imperfect Trajectory Prediction
    Chao Xu, Jessie Hui Wang, Jilong Wang, and 5 more authors
    IEEE/ACM Trans. Networking, 2022
  2. IEEE Infocom
    Mercury: A Simple Transport Layer Scheduler to Accelerate Distributed DNN Training
    Qingyang Duan, Zeqin Wang, Yuedong Xu*, and 2 more authors
    IEEE Infocom, 2022
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    Toward Packet Routing with Fully Distributed Multiagent Deep Reinforcement Learning
    Xinyu You, Xuanjie Li, Yuedong Xu*, and 3 more authors
    IEEE TSMC: Systems, 2022
  4. IEEE TNSE
    pcn22.png
    Understanding the Benefit of Being Patient in Payment Channel Networks
    Qianlan Bai, Yuedong Xu*, and Xin Wang
    IEEE TNSE, 2022

2021

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    Enabling Practical Large-scale MIMO in WLANs with Hybrid Beamforming
    Zhe Chen, Xu Zhang, Sulei Wang, and 3 more authors
    IEEE/ACM Trans. Networking, 2021
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    Enabling Robust DRL-driven Networking Systems via Teacher-Student Learning
    Ying Zheng, Lixiang Lin, Tianqi Zhang, and 4 more authors
    IEEE JSAC, 2021
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    TyrLoc: a Low-cost Multi-technology MIMO Localization System with a Single RF Chain
    Zhihao Gu, Taiwei He, Junwei Yin, and 2 more authors
    ACM Mobisys, 2021
  4. IEEE TMM
    Towards Real-time Video Caching at Edge Servers: A Cost-aware Deep Q-learning Solution
    Laizhong Cui, Erchao Ni, Yipeng Zhou, and 4 more authors
    IEEE Trans. Multimedia, 2021
  5. IEEE TCSS
    Evolution of Transaction Pattern in Ethereum: A Temporal Graph Perspective
    Qianlan Bai, Chao Zhang, Nianyi Liu, and 3 more authors
    IEEE TCSS, 2021
  6. IEEE Infocom
    Leveraging Domain Knowledge for Robust Deep Reinforcement Learning in Networking
    Ying Zheng, Haoyu Chen, Qingyang Duan, and 5 more authors
    IEEE Infocom, 2021